alexa Proteomic Analysis of the Response of Human Endothelial Cell Line EA.hy926 to 1800 GSM Mobile Phone Radiation | Open Access Journals
ISSN: 0974-276X
Journal of Proteomics & Bioinformatics
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Proteomic Analysis of the Response of Human Endothelial Cell Line EA.hy926 to 1800 GSM Mobile Phone Radiation

Reetta Nylund1, Hanna Tammio1, Niels Kuster2, Dariusz Leszczynski1*

1STUK - Radiation and Nuclear Safety Authority, Helsinki, Finland

2IT’IS Foundation, Swiss Federal Institute of Technology, Zurich, Switzerland

*Corresponding Author:
Dr. Dariusz Leszczynski, PhD,
STUK-Radiation and Nuclear Safety Authority
Laippatie 4, 00880 Helsinki, Finland
E-mail : [email protected]

Received Date: September 22, 2009; Accepted Date: October 26, 2009; Published Date: October 26, 2009

Citation: Nylund R, Tammio H, Kuster N, Leszczynski D (2009) Proteomic Analysis of the Response of Human Endothelial Cell Line EA.hy926 to 1800 GSM Mobile Phone Radiation. J Proteomics Bioinform 2: 455-462. doi: 10.4172/jpb.1000105

Copyright: © 2009 Nylund R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Background: We have earlier shown that exposure of human endothelial cell line EA.hy926 to 900 MHz GSM mobile phone radiation causes changes in the expres sion of numerous proteins. Here, we have examined the ef fects of 1800 MHz GSM mobile phone signal on the proteome of the same cell line.

Results: EA.hy926 cells were exposed for one hour to 1800 MHz GSM signal, simulating mobile phone talkin g conditions, at an average specific absorption rate (SAR) of 2.0 W/kg at 37±0.3°C. Sham samples were produced simultaneously in the same conditions but without t he radiation exposure. Cells were harvested immediatel y after 1-hour exposure to the radiation, and proteins were extr a cted a nd sepa r a ted using 2-dimensiona l electrophoresis (2DE). In total, 10 experimental re plicates were generated from both exposed and sham samples. About 900 protein spots were detected in the 2DE-ge ls using PDQuest software and eight of them were found to be differentially expressed in exposed cells (p<0.0 5, t-test). Three out of these eight proteins were identified u sing Maldi-ToF mass spectrometry (MS). These proteins ar e: spermidine synthase (SRM), 78 kDa glucose-regulated protein (55 kDa fragment) (GRP78) and proteasome subunit alpha type 1 (PSA1). Due to the lack of the availability of commercial antibodies we were able to further examine expression of only GRP78. Using SDS - PAGE and western blot method we were not able to co nfirm the result obtained for GRP78 using 2DE. Additional ly, we have not seen any effect of 1800GSM exposure on the expression of vimentin and Hsp27 - proteins that we re affected by the 900 MHz GSM exposure in our earlier studies.

Conclusions: Our results suggest that the 900GSM and 1800GSM exposures might affect the expression of so me proteins in the EA.hy926 cell line. The observed he re discrepancy between the expression changes of GRP78 detected with 1DE and 2DE confirms the importance o f validation of the results obtained with 2DE using o ther methods, e.g. western blot.

Abbreviations

2DE: Two-Dimensional Electrophoresis; CHAPS: 3-[(3- Cholamidopropyl)dimethylammonio]-1- propanesulfonate; Da: Dalton; ddH2O: Double distilled water; DMEM: Dulbecco’s Modified Eagle’s Medium; DTT: Dithioreitol; EA.hy926: Human Endothelial Cell Line; ECL Enhanced Chemiluminescence; GSM: Global System for Mobile Communications; HAT: (mixture of) Sodium hypoxanthine, Aminopterin, and Thymidine; HRP: Horseradish Peroxidase; IAA: Iodoacetamide; IEF: Isoelectric Focusing; IPG: Immobilized pH Gradient; LR: Linear-Reflectron; MALDI-TOF: Matrix-Assisted Laser Desorption/Ionization Time Of Flight; MS: Mass Spectrometry/ Mass Spectrometer; NH HCO : 4 3 Ammoniumbicarbonate; PAGE: Polyacrylamide Gel Electrophoresis; PBS: Phosphate Buffered Saline; pI: Isoelectric point ; PMF: Pept ide Mass Fingerpr int; PMSF: Phenylmethylsulphonyl Fluoride; PVDF: Polyvinylidene Fluoride; RF-EMF: Radiofrequency Modulated Electro Magnetic Field; SAR: Specific Absorption Rate; SDS: Sodium Dodecyl Sulphate; Tris-HCl: Tris(hydroxymethyl)aminomethane Hydrochloride; Versene: Chelating Agent containing EDTA

Background

The use of mobile phones has widely increased over the past decade. However, the issue of potential health effects induced by mobile phone radiation remains controversial and further research is needed to fill-up the existing gaps in the knowledge about the biological and physiological effects of this low-level energy radiation.

We have proposed that the use of high-throughput screening techniques of transcriptomics and proteomics, as tools to find genes and proteins responding to mobile phone radiation, might help the process of finding out whether mobile phone radiation might cause any health risk (Leszczynski and Joenväärä, 2001; Leszczynski, 2006; Leszczynski and Meltz, 2006). Proteomics approach has been so far used only in a few in vitro studies (Leszczynski et al., 2002; Leszczynski et al., 2004; Nylund and Leszczynski, 2004; Nylund and Leszczynski, 2006; Zeng et al., 2006; Li et al., 2007) and in a single in vivo human volunteer study (Karinen et al., 2008). Such a small number of published studies does not allow for making any generalized conclusions about of the possible effects of mobile phone exposures on the cell proteome and on the cell physiology. Only by performing more of this kind of studies, the proteomic database can be expanded and, with the help of that, the impact of mobile phone radiation on cell proteome will be possible to assess.

We have previously determined that the 900 MHz GSM mobile phone radiation signal alters expression of several tens of proteins in the human endothelial cell line EA.hy926 (Leszczynski, et al., 2002; Nylund and Leszczynski, 2004; Nylund and Leszczynski, 2006). In the present study we have examined whether the 1800 MHz GSM mobile phone radiation signal exposure will also affect protein expression in EA.hy926 cells. Protein expression was determined using 2DE proteomics and results were compared with the earlier study that used 900 MHz GSM mobile phone radiation.

Materials and Methods

In Vitro Cell Model and Cell Culture Conditions

Brain capillary endothelial cells are one of the potential targets of the mobile phone radiation. In some animal studies it has been shown that mobile phone radiation might affect function of the blood-brain barrier. That is why we have selected to examine in vitro effects of mobile phone radiation on endothelial cells. Human endothelial cell line EA.hy926 was selected because of the uniformity of cell cultures from batch to batch and because of easy and fast means to generate large quantities of cells for experiments. Neither of the above is possible to achieve with primary endothelial cells, known for slow growth and for the variability between batches isolated from different human donors.

Human endothelial cell line EA.hy926 (a gift from Dr. Cora- Jean S. Edgell North Carolina University at Chapel Hill, NC, USA) was grown in Dulbecco’s MEM (DMEM), supplemented with antibiotics, 10% foetal bovine serum, L-glutamine and HATsupplement (Sigma, USA). For the mobile phone radiation experiments, cells were removed from culture flasks by brief trypsinization, washed in cell culture medium and seeded at a density of 0.4x106cells/dish in 35 mm-diameter Petri dishes (NUNC, Denmark). After an overnight culturing the semiconfluent monolayers of EA.hy926 were exposed to mobile phone radiation or sham exposed.

Exposure to Mobile Phone Radiation Signal

The sXc-1800 exposure system, developed and provided by the IT’IS Foundation and installed at STUK (Helsinki), was employed (Figure 1). This consists of two identical exposure chambers mounted in the same cell culture incubator. It is fully automated and enables exposures of cells in monolayers (Hpolarization or at H-field maximum of the standing wave) at freely programmable amplitude modulations. The exposure chambers are based on resonant R18 waveguides, allowing for SAR values of several hundred W/kg at the cell monolayer level with a few watts input power. The identical environmental conditions (temperature, humidity, CO2) are achieved in both exposure chambers because the inlet of the airflow to both chambers is at the same location. The system monitors, every 10 seconds, the incident field strengths, the proper functioning of the ventilators, the outlet air temperatures and the functional state of the whole exposure set-up. The Pt100 temperature sensors (accuracy ±0.1°C) have been calibrated prior to the installation and the recorded differences in temperature are well within the specified long-term stability of the calibration. The induced temperature load due to mobile phone radiation absorption has been characterized as a function of SAR (t) for different signals and volumes of medium. This enables a reliable estimate of the maximum temperature rise as a function of the exposure. The ambient electromagnetic field of the cell culture incubator was measured in several positions within the incubator using an EFA-3 field measurement system (Wandel & Goltermann, Germany). Further details of the exposure system are described elsewhere (Schuderer et al., 2004). The signal applied in this study was GSM Talk. GSM Talk signal is characterized by a random change between the discontinuous transmission mode (DTX) and non-DTX or GSM Basic phases. The distribution in time was exponential with a mean duration of 10.8 seconds for non-DTX and 5.6 seconds for DTX. The dominant modulation components of this signal are 2, 8, 217, 1733 Hz, and higher harmonics. The more detailed description of the signal can be found elsewhere (Tillmann et al., 2006).

proteomics-bioinformatics-diagram-radiation

Figure 1: A diagram of sXc1800 mobile phone radiation exposure system (E: E-field sensors, T: temperarure sensors, Ifan: fan current sensors, DL: data logger i/o, PC: personal computer via GPIB) and photo of the waveguides inside a cell culture incubator.

After overnight cultivation, the semi-confluent monolayers of EA.hy926 cells were placed in two 6-dish holders and inserted into the exposure chambers. In one of the exposure chambers, randomly selected by the system’s computer, the cells were exposed to an average SAR of 2.0 W/kg at 37±0.3°C (to assure examination of non-thermal effects), while in the other chamber they were sham-exposed, in the similar conditions but without mobile phone radiation signal exposure. Precise control of the temperature of the cell cultures during the exposure to mobile phone radiation is of paramount importance to assure that the temperature increases are not responsible for the observed effects. Therefore, because in our experiments the temperature of cell cultures did not increase by more than 0.3°C we can state that the observed effects are of non-thermal nature (are not caused by any significant temperature increase). The experiments were performed in the blinded manner and the code was broken after the files from the exposure system were sent to IT’IS, Zurich, Switzerland.

Protein Extraction

Immediately after the end of the 1-hour exposure cells were quickly washed with PBS and harvested with versene. Proteins were extracted with a buffer consisting of 8 M Urea, 1 M Thiourea, 4% Chaps, 10 mM DTT, 2% IPG buffer pH 4-7, 1 mM sodium or thovanadate and 1 mM PMSF. Protein concentrations were measured using Bradford method. The 250µg of total protein was used for two-dimensional gel electrophoresis (2DE).

2DE

The isoelectric focusing was performed using an IPGphor apparatus (GE Healthcare, USA) and 24 cm long ready IEF strips pH 4-7 (GE Healthcare). The samples were loaded using in-gel rehydration in a buffer containing 9 M Urea, 2% Chaps, 0.2% DTT, 0.5% IPG buffer pH 4-7 for 4 hours. IEF was run at 20°C using step-and-hold methods as follows: 50 V 8 h; 100 V 1 h; 500 V 1 h; 1000 V 1 h; 2000 V 1 h; 8000 V until 95000 Vhrs were achieved. Before SDS-PAGE the IEF strips were equilibrated for 15 min with 6 M urea, 30% glycerol, 50 mM Tris-HCl, 2% SDS, and 10 mg/mL DTT and then for another 15 min in the same buffer, in which DTT was replaced by 25 mg/ mL iodoacetamide (IAA). SDS-PAGE was run in 10% gel using Ettan DALTsix Electrophoresis system (GE Healthcare) at the constant power setting of 3.5W/gel for the first 0.5 hours and then 13W/gel. After electrophoresis the gels were silver stained. Gels were fixed (30% ethanol, 0.5% acetic acid), washed with 20% ethanol and ddH2O, sensitized with sodium thiosulfate (0.2 g/L), incubated in the silver nitrate solution (2 g/L) and developed (potassium anhydride 30 g/L, 37% formaldehyde 0.7 mL/L, sodium thiosulfate 0.01 g/L). The development was stopped with Tris 50 g/L + 0.5% acetic acid, and then the gels were washed twice with ddH2O and scanned.

Data Analysis

The si lver stained gels were scanned using GS-710 densitometer (Bio-Rad, USA) and analyzed using PDQuest 7.2 software (Bio-Rad). In total, ten gels from both sham and exposed samples were analysed. The normalized spot volumes of the proteins from sham and exposed sample gels were statistically analyzed using student t-test at the confidence level of 95%. Protein spots, that visually appeared as technical artefacts (e.g. background areas of silver staining, irregularshaped dust particles, air bubbles) but were erroneously detected by the software, were manually removed from the analysis.

In-gel Digestions for Mass Spectrometry Protein Identification

Proteins of interest were extracted from several gels and ingel digested. Before digestion the proteins were reduced with 20 mM DTT in 0.1M ammonium-bi-carbonate (NH4HCO3) and alkylated with 55 mM IAA in NH4HCO3. Proteins were digested overnight at +37°C with modified trypsin (sequencing grade modified trypsin, porcine, Promega, USA) in 50 mM NH4HCO3. After overnight digestion, resulting peptides were extracted from gels with 25 mM NH4HCO3 and twice with 5% formic acid. Peptides were concentrated and de-salted using C-18 ZipTips (Millipore, USA) according to the manufacturer’s instructions with the exception of elution solution (60% acetonitrile).

Mass Spectrometry Identification of Proteins

Trypt ic digest ions were mixed 1:1 with α-cyano-4-hydroxycinnamic acid matrix and analyzed with MALDI-TOFLR- MS (Waters, USA) operating in a positive ion reflectron mode. The mass spectra were externally calibrated with ACTH clip 18-39 (MW 2465.199 Da, Sigma, USA) and internally calibrated with trypsin autolysis peaks (1045.564/2211.108 Da). The peptide mass fingerprints for protein identification were searched automatically at the accuracy of 20-50ppm from UniProt database with ProteinLynx-software (Waters) operating along the instrument. Statistically significantly affected proteins were also searched manually using Matrix Science Mascot Peptide Mass Fingerprint search tool (www.matrixscience.com).

Western Blotting

Immediately after the end of the RF-EMF exposure the cells were washed with PBS and harvested with versene. Proteins were extracted with 2% SDS, 1% protease inhibitor cocktail (Sigma, USA). Protein concentrations were measured using Lowry method (Bio-Rad). In total, five replicates were produced. Proteins were separated on 7.5% (GRP78) or 10% (Hsp27, Vimentin) 1D SDS-PAGE and blotted on a PVDF-membrane, blocked with 2% non-fat dry milk, and exposed to primary antibody. The polyclonal Bip (GRP78, Cell Signalling Technology, USA), monoclonal Hsp27 (StressGene, Canada), and vimentin (Zymed, USA) antibodies were used. The respective secondary antibody containing a horseradish peroxidase (HRP)-conjugate (Dako, Denmark) was used. The signal was detected using enhanced chemiluminescence (ECL) (Millipore, USA). Autoradiography films were scanned with GS- 710 densitometer (Bio-Rad) and analysed with Phoretix software (Molecular Probes, USA).

Results and Discussion

In this study we have examined protein expression levels in EA.hy926 cells after the exposure to 1800 MHz GSM mobile phone radiation. Protein expression pattern of EA.hy926 cells was analysed using 2DE with the pH range of 4 - 7 and the gel percentage of 10%, allowing a good separation at the molecular weight (MW) range of approximately 15-150 kDa. In total, 10 replicates were generated from both exposed and sham samples. Such high number of replicates is necessary in order to diminish technical and biological variability, when using silver staining technique to visualize proteins in 2DE gels.

Using PDQuest 7.2 software, about 900 protein spots were detected in the gels. Protein spots, that visually appeared as technical artefacts but were detected by the software, were manually removed from the analysis. Statistical significance of the observed differences in proteins expression levels was determined using student t-test, at the confidence level of 95%, with the assumption of the independent samples. The analysis has revealed eight protein spots which were found to be differentially expressed (p<0.05) (Figure 2). Expression of the four of the proteins was found to be down-regulated and four up-regulated by the mobile phone radiation exposure. Downregulation ratios varied between 0.33-0.47 and up-regulation ratios varied from 1.47 to 2.46.

proteomics-bioinformatics-representative-image

Figure 2: A representative gel image showing protein spots with altering expression levels and histograms showing average expression levels and standard deviations of the sham and exposed samples as well as ratio between RF and sham exposed sample (ratio >1 describes up-regulation and ratio <1 down-regulation of the protein). Also t-test p-values are shown.

Comparison of the changes in protein expression pattern observed here and in the earlier study (Nylund and Leszczynski, 2004), shows that exposure to 900 MHz GSM signal has caused expression changes in a larger number of proteins spots and the changes induced by both exposures were detected in different proteins spots. Previously, using 900 MHz GSM signal, total of 38 protein spots were found to be affected after the mobile phone exposure (Nylund and Leszczynski, 2004), out of which 28 was in the pH range of 4 - 7, as compared with 8 proteins spots that were found here to be statistically significantly affected by 1800 MHz GSM exposure in the same pH range. The number of statistically significantly affected proteins is small (below the number of expected false positives). However, it is possible that some of these proteins might indeed be responding to mobile phone radiation. As shown in our earlier study (Nylund and Leszczynski, 2004), the number of statistically significantly affected proteins might be lower than the expected number of false positives but further analysis using western blot might show that some of the affected proteins (in that particular study - vimentin), might indeed respond to the mobile phone radiation.

Using peptide mass fingerprint (PMF) technique and Maldi- ToF MS, total of 50 protein spots were identified in 2DE gels of EA.hy926 exposed to 1800 MHz GSM mobile phone radiation (Figure 3; Table 1). Among the identified proteins were proteins that we have shown earlier to be affected by 900 MHz GSM radiation: vimentin and Hsp27 (Leszczynski et al., 2002; Nylund and Leszczynski, 2004). Expression of neither of them was altered in a statistically significant manner in 2DE by 1800 MHz GSM radiation (not shown).

proteomics-bioinformatics-gel-image-protein

Figure 3: A gel image showing the identified protein spots in the EA.hy926 2DE map.

Gene name Protein name Access code Sequence coverage (%) MW(kDa)/pI
theoretical
MW(kDa)/pI measured
ACTB Actin, cytoplasmic 1 P60709 31.5 41.7/5.4 43/5.4
ACTG1 Actin, cytoplasmic 2 P63261 40 41.8/5.4 43/5.5
AHSA1 Activator of 90 kDa heat shock protein ATPase homolog 1, p38 O95433 72.8 38.3/5.5 40/5.8
CALR Calreticulin precursor P27797 49 48.1/4.3 58/4.3
CALU Calumenin O43852 45 37.1/4.5 44/4.5
CLIC1 Chloride intracellular channel protein 1 O00299 46.5 26.9/5.1 29/5.3
CCT1/
TCPA
T-complex protein 1 subunit alpha P17987 60.3 60.3/6.0 60/6.3
CCT5/
TCPE
T-complex protein 1 subunit epsilon P48643 48.2 59.6/5.6 60/5.9
EF1D Elongation factor 1-delta P29692 44.8 31.1/4.9 36/5.2
EIF3I Eukaryotic translation initiation factor 3 subunit I Q13347 23 36.5/5.4 37/5.8
ENPL Endoplasmin precursor P14625 27.5 92.4/4.8 120/4.9
GDIR1 Rho GDP-dissociation inhibitor 1 P52565 52.5 23.2/5.0 26/5.2
GDIR2/
ARHGDIB
Rho GDP-dissociation inhibitor 2 P52566 35.3 23.0/5.1 25/5.3
GRP75 Stress-70 protein, mitochondrial (Precursor) P38646 56 73.6/6.1 74/5.8
GRP78 (frag.) 78kDa glucose-regulated protein (Precursor) (frag) P11021 26 72.4/5.1 54/5.9
GRP78 (frag.) 78kDa glucose-regulated protein (Precursor) (frag) P11021 33.6 72.4/5.1 48/4.8
GSTO1 Glutathione transferase omega-1 P78417 45.6 27.5/6.6 27/6.5
GSTP1 Glutathione S-transferase P P09211 53.8 23.3/5.5 23/5.9
HSP27 Heat shock protein beta-1 P04792 48.3 22.8/6.3 26/5.9
HSP27 Heat shock protein beta-1 P04792 37.1 22.8/6.3 26/6.4
HSP60 60 kDa heat shock protein P10809 51 61.0/5.8 61/5.6
HSP60 60 kDa heat shock protein P10809 52.7 61.0/5.8 61/5.4
HSP7C frag. Heat shock cognate 71 kDa protein (frag) P11142 25.7 71.2/5.4 40/5.1
KPYM frag. Pyruvate kinase isozymes M1/M2 (frag) P14618 46.5 58.0/8.2 36/6.3
KRT7 Keratin, type II cytoskeletal 7 P08729 64.8 51.4/5.6 54/5.8
KRT8 Keratin, type II cytoskeletal 8 P05787 57.1 53.7/5.6 54/5.9
LDHB L-lactate dehydrogenase B chain P07195 46.7 36.5/6.0 36/6.1
M6PBP1C mannose-6-phosphate receptor binding protein 1C O60664 64.3 47.0/5.4 48/5.4
MEP50 Methylosome protein 50 Q9BQA1 31.6 36.7/5.1 41/5.3
NPM Nucleophosmin P06748 44.6 32.5/4.7 37/4.9
PDCD6IP Programmed cell death 6-interacting protein Q8WUM4 58.8 96.0/6.4 105/6.8
PDIA3 Protein disulfide-isomerase A3 (Precursor) P30101 49.5 56.7/6.3 56/6.2
PHB Prohibitin P35232 42.6 29.8/5.7 28/5.8
PNPH Purine nucleoside phosphorylase P00491 59.5 32.1/6.9 30/6.9
PRDX6 Peroxiredoxin-6 P30041 48.7 25.0/6.3 25/6.8
PSA1 Proteasome subunit α type 1 P25786 27 29.5/6.6 28/6.8
PSA6 Proteasome subunit α type 6 P60900 52.8 27.4/6.7 26/6.8
PSMC3/
PRS6A
26S protease regulatory subunit 6A P17980 85 49.2/5.2 49/5.3
PSMC2/
PRS7
26S protease regulatory subunit 7 P35998 53.6 48.6/5.9 48/6.2
RPSA 40S ribosomal prot SA P08865 31.2 32.9/4.8 40/4.8
RAD23 UV excision repair protein RAD23 homolog B P54727 27.1 43.1/4.8 57/4.9
RBBP4 Histone-binding protein RBBP4 Q09028 31.1 47.7/4.8 53/4.8
RUVB2 RuvB-like 2 Q9Y230 69.1 51.1/5.6 52/5.9
SAKS1 SAPK substrate protein 1 Q04323 50.5 33.3/5.3 39/5.4
SRM Spermidine synthase P19623 19.9 33.8/5.4 33/5.4
ST1A3 Sulfotransferase 1A3/1A4 P50224 52.6 36.4/5.8 35/6.0
STOML2 Stomatin-like protein 2 Q9UJZ1 46.6 38.5/6.9 40/5.7
STRAP Serine-threonine kinase receptor-associated protein Q9Y3F4 56.3 38.4/5.0 38/5.2
TBA1C Tubulin alpha-1C chain Q9BQE3 44.5 49.9/5.0 58/5.3
TBB2C Tubulin beta-2C chain P68371 50.1 49.8/4.8 51/5.1
TBB2C
(frag)
Tubulin beta-2C chain (frag) P68371 35.3 49.8/4.8 36/5.8
TMOD3 Tropomodulin3 Q9NYL9 36.9 39.6/5.1 40/5.4
TPIS Triosephosphate isomerase P60174 80 26.7/6.9 24/6.6
TPM3 Tropomyosin 3 Q5VU58 69 29.2/4.8 30/4.8
VIME Vimentin P08670 78 53.6/5.1 54/5.3
VIME Vimentin (fragment) P08670 51.1 53.6/5.1 49/4.9
VIME Vimentin (fragment) P08670 66.3 53.6/5.1 47/4.8
VCL Vinculin P18206 32.8 123.7/5.6 130/6.5

Table 1: All proteins that were identified by MS in EA.hy926 2DE gels.

Among the 50 identified protein spots were 8 proteins that expression was statistically significantly affected by 1800 MHz GSM radiation. Three of these eight protein spots were successfully identified (Table 2):

• spot #4 - spermidine synthase (P19623 SRM) (Wahlfors et al., 1990), regulates amine and bioamine biosynthesis,

• spot #5 - 78 kDa glucose regulated protein (fragment) (P11021 GRP78) (Ting and Lee, 1988), member of the heat shock protein 70 family, facilitates the assembly of multimeric protein complexes inside the endoplasmic reticulum. The molecular weight of this protein 72.4 kDa, while the affected protein spot observed here was only a fragment of ca. 55 kDa.

• spot #7 - proteasome subunit alpha type 1 (P25786 PSA1) (Silva-Pereira et al., 1992), is a part of large proteasome complex.

spot # Expression
(exposed/sham)
Protein name Access code Sequence coverage
(%)
Mascot score
4 down SRM P19623 19.9 74
5 up GRP78 fragment P11021 26 101
7 down PSA1 P25786 27 111

Table 2: Identified proteins that altered their expression after exposure to 1800 MHz GSM radiation.

Identification of the other five proteins spots with Maldi-ToF was not successful due to low amount of protein in the spots.

Using western blot technique we have attempted to confirm the 2DE results for some of the proteins. Expression changes of GRP78 were examined using polyclonal antibody (Bip/GRP78, Cell Signalling Technology). Two protein bands were detected with MW of 75 kDa (represents the whole protein) and 55 kDa (represents GRP78 fragment identified from our 2DE gels). However, neither of the protein bands appeared to be affected by radiation exposure (Figure 4A). Thus, the western blot technique did not confirm the results obtained with 2DE. Two other identified proteins, SRM and PSA1, were not analyzed using western blot because the corresponding antibodies were not commercially available. Also the western blot experiments for vimentin and Hsp27 have shown a lack of effect of 1800 MHz GSM radiation. For vimentin, using the same antibody as previously (Nylund and Leszczynski, 2004), only a single band was observed in western blot, while in the earlier study the 900 MHz GSM radiation has caused appearance of an additional low-molecular weight vimentin band (Nylund and Leszczynski, 2004). For the single vimentin band observed here there was no change in the expression following the radiation exposure (Figure 4B). For Hsp27, the 2DE gel analyses have shown a statistically non-significant slight increase in the expression but western blot did not show any difference between Hsp27 expression in sham and exposed cells (Figure 4C).

proteomics-bioinformatics-western-densitogram

Figure 4: Western blots and densitogram bar-graph analyses (mean ± SD) for GRP78 protein (A), vimentin (B) and Hsp27 protein (C). For all western blots EA.hy926 cells were exposed for one hour to 2.0 W/kg 1800 MHz GSM signal using talk-conditions. The experiments were repeated five times. S = sham sample; RF = exposed sample.

Future Perspectives

In our previous and in the present study we have used two common mobile phone frequencies, 900 MHz and 1800 MHz, to determine if these radiation frequencies could have any impact on cell proteome. The observed here discrepancy between the responses of EA.hy926 cells to 1800 MHz GSM radiation and the previously published responses of EA.hy926 cells to 900 MHz GSM might be caused either by the different exposure frequencies or by technical differences between the exposure set-ups or by both of the above. The major difference, besides the frequency, between the 900 GSM and 1800 MHz GSM exposure chambers, appears to be the distribution of radiation field within the cell culture dish. In 900 MHz GSM set-up there was non-uniform SAR distribution (Leszczynski et al., 2002). It means that the cells growing in the certain areas of the culture dish were exposed to much higher SAR (over 5.0 W/kg) as compared to the average SAR for the whole cell culture dish (2.4 W/kg) (Leszczynski et al., 2002). In the contrast, the 1800 MHz GSM set-up had very uniform SAR distribution and the cells throughout the cell culture dish were exposed to the same level (2.0 W/kg) of radiation. The possibility of the fielddistribution- related effect is supported by our new results showing that stress kinases are activated by the 1800 MHz radiation at 5.0 W/kg but not at 2.0 W/kg (manuscript in preparation). Therefore, there is a need to compare side-by-side the effects of 900 MHz and 1800 MHz frequencies on protein expression and on stress response in EA.hy926 cells using different SAR values.

Summary Conclusions

Our results suggest that the 900 MHz GSM and 1800 MHz GSM exposures might affect the expression of some proteins in the EA.hy926 cell line. The observed here discrepancy between the expression changes of GRP78 detected with 1DE and 2DE confirms the importance of validation of the results obtained with 2DE using non-high-throughput methods, as e.g. western blot. However, one serious limitation of this approach is the availability of specific antibodies or possession of an animal facility permitting to produce specific antibodies.

Authors’ Contributions

RN developed the proteomics system used here, performed all the analyses presented here, and wrote the draft manuscript. HT performed the 2DE experiments. NK provided the exposure set-up used here. DL obtained the funding of the study and coordinated execution of this project and wrote the final version of the manuscript. All authors have read and approved the final version of the manuscript.

Acknowledgements

We thank Ms. Pia Kontturi for very skilful assistance in performing peptide digests for MS as well as for western blots. We would also like to thank Ms. Marja Huuskonen for the help in the cell cultivation. The IT’IS personnel (Denis Spät and Manuel Murbach) we would like to thank for decoding the files from the exposures. This study was funded by internal funding from STUK and IT’IS.

References

  1. Karinen A, Heinävaara S, Nylund R, Leszczynski D (2008) Mobile phone radiation might alter protein expression in human skin. BMC Genomics 11: 77. » CrossRef » PubMed » Google Scholar
  2. Leszczynski D (2006) The need for a new approach in studies of the biological effects of electromagnetic fields. Proteomics 6: 4671-4673. » CrossRef » PubMed » Google Scholar
  3. Leszczynski D and Joenväärä S (2001) Proteomics: new way to determine possible biological effects of mobile phone radiation. Nature Genetics 27: 67.
  4. Leszczynski D, Joenväärä S, Reivinen J, Kuokka R (2002) Non-thermal activation of the hsp27/p38MAPK stress pathway by mobile phone radiation in human endothelial cells: Molecular mechanism for cancer- and blood-brain barrier-related effects. Differentiation 70: 120-129. » CrossRef » PubMed » Google Scholar
  5. Leszczynski D and Meltz ML (2006) Questions and answers concerning applicability of proteomics and transcriptomics in EMF research. Proteomics 6: 4674-4677. » CrossRef » PubMed » Google Scholar
  6. Leszczynski D, Nylund R, Joenväärä S, Reivinen J (2004) Applicability of discovery science approach to determine biological effects of mobile phone radiation. Proteomics 4: 426-431. » CrossRef » PubMed » Google Scholar
  7. Li HW, Yao K, Jin HY, Sun LX, Lu DQ, et al. (2007) Proteomic analysis of human lens epithelial cells exposed to microwaves. Jpn J Ophthalmol 51: 412-416. » CrossRef » PubMed » Google Scholar
  8. Nylund R and Leszczynski D (2004) Proteomics analysis of human endothelial cell line EA.hy926 after exposure to GSM 900 radiation. Proteomics 4: 1359-1365. » CrossRef » PubMed » Google Scholar
  9. Nylund R and Leszczynski D (2006) Mobile phone radiation causes changes in gene and protein expression in human endothelial cell lines and the response seems to be genomeand proteome-dependent. Proteomics 6: 4769-4780. » CrossRef » PubMed » Google Scholar
  10. Schuderer J, Samaras T, Oesch W, Spät D, Kuster N (2004) High peak SAR exposure unit with tight exposure and environmental control for invitro experiments at 1800 MHz. IEEE Transact Microwave Theor Tech 52: 2057-2066. » CrossRef » Google Scholar
  11. Silva-Pereira I, Bey F, Coux O, Scherrer K (1992) Two mRNAs exist for the Hs PROS-30 gene encoding a component of human prosomes. Gene 120: 235-242. » PubMed » Google Scholar
  12. Tillmann T, Ernst H, Ebert S, Kuster N, BehnkeW, et al. (2006) Carcinogenicity study of GSM and DCS wireless communication signals in B6C3F1 mice. Bioelectromagnetics 28: 173-187. » CrossRef » PubMed » Google Scholar
  13. Ting J and Lee AS (1988) Human gene encoding the 78,000- dalton glucose-regulated protein and its pseudogene: structure, conservation, and regulation. DNA 7: 275-286. » CrossRef » PubMed » Google Scholar
  14. Wahlfors J, Alhonen L, Kauppinen L, Hyvönen T, Jänne J, et al. (1990) Human spermidine synthase: cloning and primary structure. DNA Cell Biol 9: 103-110. » CrossRef » PubMed » Google Scholar
  15. Zeng Q, Chen G, Weng Y, Wang L, Chiang H, et al. (2006) Effects of global system for mobile communications 1800 MHz radiofrequency electromagnetic fields on gene and protein expression in MCF-7 cells. Proteomics 6: 4732-4738. » CrossRef » PubMed » Google Scholar
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